Interactive shape models

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Interactive shape models. / van Ginneken, Bram; de Bruijne, Marleen; Loog, Marco; Viergever, Max A.

Proceedings of SPIE. 2003. p. 1206-1216 (Medical Imaging 2003: Image Processing, Vol. 5032).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

van Ginneken, B, de Bruijne, M, Loog, M & Viergever, MA 2003, Interactive shape models. in Proceedings of SPIE. Medical Imaging 2003: Image Processing, vol. 5032, pp. 1206-1216, SPIE Medical Imaging, San Diego, CA, United States, 29/11/2010. https://doi.org/10.1117/12.480165

APA

van Ginneken, B., de Bruijne, M., Loog, M., & Viergever, M. A. (2003). Interactive shape models. In Proceedings of SPIE (pp. 1206-1216). Medical Imaging 2003: Image Processing Vol. 5032 https://doi.org/10.1117/12.480165

Vancouver

van Ginneken B, de Bruijne M, Loog M, Viergever MA. Interactive shape models. In Proceedings of SPIE. 2003. p. 1206-1216. (Medical Imaging 2003: Image Processing, Vol. 5032). https://doi.org/10.1117/12.480165

Author

van Ginneken, Bram ; de Bruijne, Marleen ; Loog, Marco ; Viergever, Max A. / Interactive shape models. Proceedings of SPIE. 2003. pp. 1206-1216 (Medical Imaging 2003: Image Processing, Vol. 5032).

Bibtex

@inproceedings{5baf48c06dc211dd8d9f000ea68e967b,
title = "Interactive shape models",
abstract = "Supervised segmentation methods in which a model of the shape of an object and its gray-level appearance is used to segment new images have become popular techniques in medical image segmentation. However, the results of these methods are not always accurate enough. We show how to extend one of these segmentation methods, active shape models (ASM) so that user interaction can be incorporated. In this interactive shape model (iASM), a user drags points to their correct position thus guiding the segmentation process. Experiments for three medical segmentation tasks are presented: segmenting lung fields in chest radiographs, hand outlines in hand radiographs and thrombus in abdominal aorta aneurysms from CTA data. By only fixing a small number of points, the part of sufficiently accurate segmentations can be increased from 20-70% for no interaction to over 95%. We believe that iASM can be used in many clinical applications.",
author = "{van Ginneken}, Bram and {de Bruijne}, Marleen and Marco Loog and Viergever, {Max A.}",
year = "2003",
doi = "10.1117/12.480165",
language = "English",
series = "Medical Imaging 2003: Image Processing",
publisher = "Anthem Media Group",
pages = "1206--1216",
booktitle = "Proceedings of SPIE",
note = "null ; Conference date: 29-11-2010",

}

RIS

TY - GEN

T1 - Interactive shape models

AU - van Ginneken, Bram

AU - de Bruijne, Marleen

AU - Loog, Marco

AU - Viergever, Max A.

PY - 2003

Y1 - 2003

N2 - Supervised segmentation methods in which a model of the shape of an object and its gray-level appearance is used to segment new images have become popular techniques in medical image segmentation. However, the results of these methods are not always accurate enough. We show how to extend one of these segmentation methods, active shape models (ASM) so that user interaction can be incorporated. In this interactive shape model (iASM), a user drags points to their correct position thus guiding the segmentation process. Experiments for three medical segmentation tasks are presented: segmenting lung fields in chest radiographs, hand outlines in hand radiographs and thrombus in abdominal aorta aneurysms from CTA data. By only fixing a small number of points, the part of sufficiently accurate segmentations can be increased from 20-70% for no interaction to over 95%. We believe that iASM can be used in many clinical applications.

AB - Supervised segmentation methods in which a model of the shape of an object and its gray-level appearance is used to segment new images have become popular techniques in medical image segmentation. However, the results of these methods are not always accurate enough. We show how to extend one of these segmentation methods, active shape models (ASM) so that user interaction can be incorporated. In this interactive shape model (iASM), a user drags points to their correct position thus guiding the segmentation process. Experiments for three medical segmentation tasks are presented: segmenting lung fields in chest radiographs, hand outlines in hand radiographs and thrombus in abdominal aorta aneurysms from CTA data. By only fixing a small number of points, the part of sufficiently accurate segmentations can be increased from 20-70% for no interaction to over 95%. We believe that iASM can be used in many clinical applications.

U2 - 10.1117/12.480165

DO - 10.1117/12.480165

M3 - Article in proceedings

T3 - Medical Imaging 2003: Image Processing

SP - 1206

EP - 1216

BT - Proceedings of SPIE

Y2 - 29 November 2010

ER -

ID: 5580582